[
https://issues.apache.org/jira/browse/SPARK-32165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17259777#comment-17259777
]
Xianjin YE commented on SPARK-32165:
------------------------------------
> could we add a bit more detail here as to what problem is or what this
>causes? I assume by leak you mean this causes memory leak but no other
>function issues?
[~tgraves] Please see this
comment([https://github.com/apache/spark/pull/28128#issuecomment-653102770])
for the context. The main issues is memory leak, which could be a problem for
applications which create SparkSession frequently.
> SessionState leaks SparkListener with multiple SparkSession
> -----------------------------------------------------------
>
> Key: SPARK-32165
> URL: https://issues.apache.org/jira/browse/SPARK-32165
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Xianjin YE
> Priority: Major
>
> Copied from
> [https://github.com/apache/spark/pull/28128#issuecomment-653102770]
>
> {code:java}
> test("SPARK-31354: SparkContext only register one SparkSession
> ApplicationEnd listener") {
> val conf = new SparkConf()
> .setMaster("local")
> .setAppName("test-app-SPARK-31354-1")
> val context = new SparkContext(conf)
> SparkSession
> .builder()
> .sparkContext(context)
> .master("local")
> .getOrCreate()
> .sessionState // this touches the sessionState
> val postFirstCreation = context.listenerBus.listeners.size()
> SparkSession.clearActiveSession()
> SparkSession.clearDefaultSession()
> SparkSession
> .builder()
> .sparkContext(context)
> .master("local")
> .getOrCreate()
> .sessionState // this touches the sessionState
> val postSecondCreation = context.listenerBus.listeners.size()
> SparkSession.clearActiveSession()
> SparkSession.clearDefaultSession()
> assert(postFirstCreation == postSecondCreation)
> }
> {code}
> The problem can be reproduced by the above code.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
